Improved initial guess for minimum energy path calculations
S{\o}ren Smidstrup, Andreas Pedersen, Kurt Stokbro, Hannes, J\'onsson

TL;DR
The paper introduces an IDPP-based method for generating accurate initial guesses of transition paths, significantly reducing computational effort and improving convergence in minimum energy path calculations.
Contribution
A novel IDPP-based approach for initial path estimation that enhances convergence and reduces computational cost in minimum energy path calculations.
Findings
Reduced DFT computational effort by 50% to 90%.
Significantly improved initial path accuracy over linear interpolation.
Enhanced parallel computation efficiency due to load balancing.
Abstract
A method is presented for generating a good initial guess of a transition path between given initial and final states of a system without evaluation of the energy. An objective function surface is constructed using an interpolation of pairwise distances at each discretization point along the path and the nudged elastic band method then used to find an optimal path on this image dependent pair potential (IDPP) surface. This provides an initial path for the more computationally intensive calculations of the true minimum energy path using some method of choice for evaluating the energy and atomic forces, for example by ab initio or density functional theory. The optimal path on the IDPP surface is significantly closer to the true minimum energy path than a linear interpolation of the Cartesian coordinates and, therefore, reduces the number of iterations needed to reach convergence and…
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